FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4376645134> ?p ?o ?g. }

• W4376645134 endingPage "4110" @default.
• W4376645134 startingPage "4110" @default.
• W4376645134 abstract "In recent years, electrical systems have evolved, creating uncertainties in short-term economic dispatch programming due to demand fluctuations from self-generating companies. This paper proposes a flexible Machine Learning (ML) approach to address electrical load forecasting at various levels of disaggregation in the Peruvian Interconnected Electrical System (SEIN). The novelty of this approach includes utilizing meteorological data for training, employing an adaptable methodology with easily modifiable internal parameters, achieving low computational cost, and demonstrating high performance in terms of MAPE. The methodology combines modified Fuzzy ARTMAP Neural Network (FAMM) and hybrid Support Vector Machine FAMM (SVMFAMM) methods in a parallel process, using data decomposition through the Wavelet filter db20. Experimental results show that the proposed approach outperforms state-of-the-art models in predicting accuracy across different time intervals." @default.
• W4376645134 created "2023-05-17" @default.
• W4376645134 creator A5011674710 @default.
• W4376645134 creator A5027510920 @default.
• W4376645134 creator A5062571471 @default.
• W4376645134 date "2023-05-16" @default.
• W4376645134 modified "2023-10-01" @default.
• W4376645134 title "Development of a Short-Term Electrical Load Forecasting in Disaggregated Levels Using a Hybrid Modified Fuzzy-ARTMAP Strategy" @default.
• W4376645134 cites W153870454 @default.
• W4376645134 cites W163939222 @default.
• W4376645134 cites W1711412747 @default.
• W4376645134 cites W1964357740 @default.
• W4376645134 cites W1967379861 @default.
• W4376645134 cites W1991277158 @default.
• W4376645134 cites W2000515020 @default.
• W4376645134 cites W2012611887 @default.
• W4376645134 cites W2016210396 @default.
• W4376645134 cites W2039800014 @default.
• W4376645134 cites W2093132633 @default.
• W4376645134 cites W2096684483 @default.
• W4376645134 cites W2106304233 @default.
• W4376645134 cites W2132984323 @default.
• W4376645134 cites W2149072817 @default.
• W4376645134 cites W2158442843 @default.
• W4376645134 cites W2166280719 @default.
• W4376645134 cites W2260161590 @default.
• W4376645134 cites W2294798173 @default.
• W4376645134 cites W2506026375 @default.
• W4376645134 cites W2593249465 @default.
• W4376645134 cites W2781956327 @default.
• W4376645134 cites W2786806645 @default.
• W4376645134 cites W2787031726 @default.
• W4376645134 cites W2903802301 @default.
• W4376645134 cites W2918930847 @default.
• W4376645134 cites W2933878133 @default.
• W4376645134 cites W2939426685 @default.
• W4376645134 cites W2954192867 @default.
• W4376645134 cites W2961951330 @default.
• W4376645134 cites W2972001256 @default.
• W4376645134 cites W2972961631 @default.
• W4376645134 cites W2979990517 @default.
• W4376645134 cites W2981375775 @default.
• W4376645134 cites W2982252459 @default.
• W4376645134 cites W2984385215 @default.
• W4376645134 cites W2990622714 @default.
• W4376645134 cites W3034953042 @default.
• W4376645134 cites W3043294137 @default.
• W4376645134 cites W3043685378 @default.
• W4376645134 cites W3047073136 @default.
• W4376645134 cites W3082520635 @default.
• W4376645134 cites W3087798270 @default.
• W4376645134 cites W3094004688 @default.
• W4376645134 cites W3110874572 @default.
• W4376645134 cites W3159010103 @default.
• W4376645134 cites W3213761405 @default.
• W4376645134 cites W4229336759 @default.
• W4376645134 cites W4239510810 @default.
• W4376645134 cites W4251034231 @default.
• W4376645134 cites W4255272544 @default.
• W4376645134 cites W4292473116 @default.
• W4376645134 cites W4306676093 @default.
• W4376645134 cites W4311626308 @default.
• W4376645134 doi "https://doi.org/10.3390/en16104110" @default.
• W4376645134 hasPublicationYear "2023" @default.
• W4376645134 type Work @default.
• W4376645134 citedByCount "0" @default.
• W4376645134 crossrefType "journal-article" @default.
• W4376645134 hasAuthorship W4376645134A5011674710 @default.
• W4376645134 hasAuthorship W4376645134A5027510920 @default.
• W4376645134 hasAuthorship W4376645134A5062571471 @default.
• W4376645134 hasBestOaLocation W43766451341 @default.
• W4376645134 hasConcept C106131492 @default.
• W4376645134 hasConcept C111919701 @default.
• W4376645134 hasConcept C119857082 @default.
• W4376645134 hasConcept C121332964 @default.
• W4376645134 hasConcept C12267149 @default.
• W4376645134 hasConcept C124101348 @default.
• W4376645134 hasConcept C138885662 @default.
• W4376645134 hasConcept C154945302 @default.
• W4376645134 hasConcept C163258240 @default.
• W4376645134 hasConcept C27206212 @default.
• W4376645134 hasConcept C2778738651 @default.
• W4376645134 hasConcept C31972630 @default.
• W4376645134 hasConcept C41008148 @default.
• W4376645134 hasConcept C50644808 @default.
• W4376645134 hasConcept C58166 @default.
• W4376645134 hasConcept C61797465 @default.
• W4376645134 hasConcept C62520636 @default.
• W4376645134 hasConcept C77715397 @default.
• W4376645134 hasConcept C98045186 @default.
• W4376645134 hasConceptScore W4376645134C106131492 @default.
• W4376645134 hasConceptScore W4376645134C111919701 @default.
• W4376645134 hasConceptScore W4376645134C119857082 @default.
• W4376645134 hasConceptScore W4376645134C121332964 @default.
• W4376645134 hasConceptScore W4376645134C12267149 @default.
• W4376645134 hasConceptScore W4376645134C124101348 @default.
• W4376645134 hasConceptScore W4376645134C138885662 @default.
• W4376645134 hasConceptScore W4376645134C154945302 @default.

• next